Machine Learning Engineer

📋 Description

• Train diffusion models for image and video generation.
• Train controllability modules like IPAdapters or ControlNets.
• Develop novel research techniques and production code.
• Run large-scale experiments on HPC clusters and optimize data pipelines.

🎯 Requirements

• Proven track record with image or video models at scale.
• Strong background in deep learning frameworks and distributed training.
• Ability to iterate rapidly and propose creative research directions.

🎁 Benefits

• Backed by leading Silicon Valley investors.
• Work on next-generation AI creative tools.
• Collaborative, creative environment.
• Opportunity for impactful research.